KI-DiabetesDetektion
The BMBF funds a new project in the field of medical AI and systems medicine. The goal of the KI-DiabetesDetektion project is to integrate indication data from various sources in a knowledge graph and apply machine learning methods to improve the early stage detection of Diabetes.
Partners in the project include
- University of Mannheim, Data and Web Science Group (Chair of Prof. Heiko Paulheim)
- University of Tübingen (Chair of Prof. Andreas Fritsche)
- medicalvalues GmbH
- Famedly GmbH
In the project, we will develop AI-based prototypes using knowledge graphs and machine learning, and test them in diagnostic patient studies.
Project Results
- Rita T. Sousa, Heiko Paulheim: Integrating heterogeneous gene expression data through knowledge graphs for improving diabetes prediction. 7th Workshop on Semantic Web Solutions for Large-scale Biomedical Data Analytics (SeWeBMeDA), 2024